CN109220882A - A kind of commodity pig on scale field digitlization monitoring information application method and system - Google Patents
A kind of commodity pig on scale field digitlization monitoring information application method and system Download PDFInfo
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- CN109220882A CN109220882A CN201811313929.4A CN201811313929A CN109220882A CN 109220882 A CN109220882 A CN 109220882A CN 201811313929 A CN201811313929 A CN 201811313929A CN 109220882 A CN109220882 A CN 109220882A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 30
- 230000002159 abnormal effect Effects 0.000 claims abstract description 23
- 238000009395 breeding Methods 0.000 claims abstract description 22
- 238000010835 comparative analysis Methods 0.000 claims abstract description 12
- 230000005856 abnormality Effects 0.000 claims abstract description 6
- 238000012360 testing method Methods 0.000 claims description 14
- 201000010099 disease Diseases 0.000 claims description 13
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 13
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 7
- 238000002474 experimental method Methods 0.000 claims description 7
- 230000003862 health status Effects 0.000 claims description 7
- 230000006399 behavior Effects 0.000 claims description 6
- 229910021529 ammonia Inorganic materials 0.000 claims description 4
- 230000036760 body temperature Effects 0.000 claims description 4
- 239000003651 drinking water Substances 0.000 claims description 4
- 235000020188 drinking water Nutrition 0.000 claims description 4
- 230000004590 drinking behavior Effects 0.000 claims description 3
- 235000021050 feed intake Nutrition 0.000 claims description 3
- 230000002431 foraging effect Effects 0.000 claims description 3
- 230000003542 behavioural effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 239000002341 toxic gas Substances 0.000 description 3
- 230000036541 health Effects 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000029142 excretion Effects 0.000 description 1
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 210000002700 urine Anatomy 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Biophysics (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a kind of commodity pig on scale fields to digitize monitoring information application method, comprising: acquires live pig data target and establishes database；The value range for determining data target establishes the linked database of data target and value；Abnormal index or state are extracted, unusual condition producing cause and risk, comparative analysis historical data and report are analyzed, explores the time and space idea that pig-breeding unusual condition occurs；Analysis report is write based on the analysis results and is warned.Monitoring information application method is digitized using the commodity pig on scale field of above technical scheme; by constructing linked database; pig-breeding state and risk are analyzed and evaluated; the abnormality in pig-breeding is found in time and is warned, and realizes the practical application and operation instruction of pig-breeding digital monitoring information.The invention also discloses a kind of commodity pig on scale fields to digitize monitoring information application system.
Description
Technical field
The present invention relates to application technical field more particularly to a kind of commodity pig on scale field digital monitorings
Information application method and system.
Background technique
Currently, live pig industry is changed from free-ranging to large-scale cultivation, feeding live pig amount is big, live pig abnormal behaviour or state ratio
It is more universal and many kinds of.The human resources rapid hair in short supply for having promoted to digitize cultural technique and monitoring means with inefficiency
Exhibition.With the promotion of management level, technical level, the level of IT application, the retrievable data of live pig industry are more and more and more next
It is more many and diverse.Currently, farm often storing data and lack practical application so that informationization technology produced pig-breeding
Guidance is difficult to play a role.
Summary of the invention
The object of the present invention is to provide a kind of commodity pig on scale fields to digitize monitoring information application method and system, to
The linked database of pig-breeding information data index and its threshold value or state description is constructed, abnormal index or state are extracted, point
Its producing cause, risk and time and space idea are analysed, realizes the practical application and operation instruction of pig-breeding digital monitoring information.
According to an aspect of the invention, there is provided a kind of commodity pig on scale field digitizes monitoring information application method,
Include:
S1. it acquires data target and establishes database；
S2. it determines data target value range, establishes the linked database of data target and value；
S3. abnormal index or state are extracted, unusual condition producing cause and risk, comparative analysis historical data and report are analyzed
It accuses, explores the time and space idea that pig-breeding unusual condition occurs；
S4. analysis report is write based on the analysis results and is warned.
In some embodiments, step S1 includes:
S11. data target is acquired, data target includes: the feeding management of commodity pig on scale field and environmental information, live pig row
It is characterized information, live pig sign information, regular sample experiments room detection data index and region epidemic disease a situation arises information；
S12. database is established, the data target of acquisition is established into corresponding data according to its classification and frequency acquisition respectively
Library.
In some embodiments, step S2 includes:
S21. it collects and consults the data such as pertinent literature, books and each data target is determined by laboratory testing
Theoretical range of normal value；
S22. to can not the data target of apparatus volume representation collect its normal and abnormality qualitative description；
S23. the linked database of data target and value or state description is established.
In some embodiments, step S3 includes:
S31. combined data indication information and range of normal value and qualitative description extract abnormal index or state；
S32. current all monitoring data indexs are integrated to analyze and determine abnormal index or state, and compare history phase
Information is closed, live pig health status is assessed, analyzes unusual condition producing cause and risk；
S33. space-time and other rules that pig-breeding unusual condition occurs are explored in comparative analysis historical data and report,
Auxiliary information as the analysis of live pig unusual condition.
In some embodiments, in linked database, ammonia concentration 0~100ppm of standard reference value, wherein 0~5ppm
To be slight, 5~10ppm is moderate, and 10~100ppm is severe；Live pig normal body temperature range is 38~39.5 DEG C, and live pig is normal
Pulse range is 60~80 beats/min etc.；Foraging behaviour includes intake time daytime 6~8 times, and night 4~6 times, feed intake 0.6
~3kg/ times；Drinking behavior includes amount of drinking water 0.67~12L/ times.
Monitoring information application method is digitized using the commodity pig on scale field of above technical scheme, with commodity pig on scale
Sample of the field as digital information monitoring, and information occurs for assistant experiment room detection data and region epidemic disease, in conjunction with document, book
The data such as nationality and laboratory testing determine each data target threshold value, establish being associated with for data target and its threshold value or state description
Database analyzes its producing cause, risk and time and space idea, assesses live pig health status by extracting abnormal index or state
And warn, pig-breeding efficiency is improved for prevention live pig disease, and guidance is provided.
According to another aspect of the present invention, a kind of commodity pig on scale field digitlization monitoring information analysis system is provided
System connects including being sequentially connected:
Acquisition module, for data target acquisition and Database；
Module is constructed, for determining the value range of data target and establishing the linked database of data target and value；
Analysis module, for extracting abnormal index or state and analysis unusual condition producing cause and risk, comparative analysis
Historical data and time and the spatial homing for reporting and exploring the generation of pig-breeding unusual condition.
Warning module, for writing analysis report based on the analysis results and warning.
In some embodiments, acquisition module establishes the data target of acquisition according to its classification and frequency acquisition respectively
Associated databases, data target include: the feeding management of commodity pig on scale field and environmental information, live pig behavior characteristic information, life
Pig sign information, regular sample experiments room detection data index and region epidemic disease a situation arises information.
In some embodiments, building module establishes being associated with for data target and value or state description by the following method
Database:
It collects and consults the data such as pertinent literature, books and determine the theory of each data target by laboratory testing
Range of normal value；
To can not the data target of apparatus volume representation collect its normal and abnormality qualitative description.
In some embodiments, the function of analysis module includes:
Combined data index and range of normal value and qualitative description extract abnormal index or state；
The data target of comprehensive current all monitorings analyzes and determines abnormal index or state, and compares history correlation
Information assesses live pig health status, analyzes unusual condition producing cause and risk；
And comparative analysis historical data and report, explore pig-breeding unusual condition occur space-time and other rules,
Auxiliary information as the analysis of live pig unusual condition.
Use the sample of above technical scheme monitored using commodity pig on scale field as digital information, and assistant experiment
Information occurs for room detection data and region epidemic disease, determines each data target in conjunction with the data such as document, books and laboratory testing
Threshold value establishes the linked database of data target and its threshold value or state description, by extracting abnormal index or state, analyzes it
Producing cause, risk and time and space idea assess live pig health status and warn, and improve pig-breeding efficiency for prevention live pig disease
Guidance is provided.
Detailed description of the invention
Fig. 1 is the flow diagram that a kind of commodity pig on scale field of the present invention digitizes monitoring information application method.
Fig. 2 is that the live pig health data of the digitlization of commodity pig on scale field shown in Fig. 1 monitoring information application method refers to
Target data structure schematic diagram.
Fig. 3 is the data analysis schematic diagram that commodity pig on scale field shown in Fig. 1 digitizes monitoring information application method.
Fig. 4 is a kind of structural schematic diagram of commodity pig on scale field digitlization monitoring information application system of the present invention.
Specific embodiment
The invention will now be described in further detail with reference to the accompanying drawings.
Embodiment 1
Fig. 1 schematically shows a kind of commodity pig on scale field digital monitoring letter of embodiment according to the present invention
Cease application method.As shown, the process of this method includes:
S1. data target acquisition and Database, comprising:
S11. data target is acquired, data target includes: the feeding management of commodity pig on scale field and environmental information, live pig row
It is characterized information, live pig sign information, regular sample experiments room detection data index and region epidemic disease a situation arises information；
S12. database is established, the data target of acquisition is established into corresponding data according to its classification and frequency acquisition respectively
Library.
It should be noted that data target selection should be practical based on the current pig-breeding level of IT application, informationization technology
Property and data accessibility, determine acquisition data target.
S2. the value range for determining data target, establishes the linked database of data target and value, detailed process includes:
S21. it collects and consults the data such as pertinent literature, books and each data target is determined by laboratory testing
Theoretical range of normal value；
S22. to can not the data target of apparatus volume representation collect its normal and abnormality qualitative description；
S23. the linked database of data target and value or state description is established.
It should be noted that the data target of linked database include concentration of toxic gases, behavioural characteristic, sign information and
Laboratory testing data.Linked database such as 0~100ppm of ammonia concentration standard reference value, wherein 0~5ppm be it is slight, 5
~10ppm is moderate, and 10~100ppm is severe；38~39.5 DEG C of live pig normal body temperature, live pig normal pulse 60~80 is inferior；
Foraging behaviour includes intake time daytime 6~8 times, and night 4~6 times, 0.6~3kg of feed intake；Drinking behavior includes amount of drinking water
0.67~12L.
S3. abnormal index or state are extracted, unusual condition producing cause and risk are analyzed, compares historical data, explores life
Pig cultivates the time and space idea that unusual condition occurs, and specifically includes:
S31. combined data indication information and range of normal value and qualitative description extract abnormal index or state；
S32. current all monitoring data indexs are integrated to analyze and determine abnormal index or state, and compare history phase
Information is closed, live pig health status is assessed, analyzes unusual condition producing cause and risk；
S33. space-time and other rules that pig-breeding unusual condition occurs are explored in comparative analysis historical data and report,
Auxiliary information as the analysis of live pig unusual condition.
S4 writes analysis report based on the analysis results and warns.
Analyzing result includes current live pig abnormal index and state, producing cause, risk and time and space idea.
As shown in Fig. 2, the data target of commodity pig on scale field detecting includes feeding management information, environment in the present embodiment
Information, live pig behavior characteristic information, live pig sign information, laboratory testing data target and region epidemic disease a situation arises letter
Breath.
Feeding management includes stocking density, environment disinfected, harmless treatment, ventilation and immune etc..
Environmental information includes:
Common meteorological element, such as temperature, humidity, wind speed, day and night temperature；
Common natural calamity information, such as typhoon, earthquake, flood；
Concentration of toxic gases, such as ammonia, hydrogen sulfide.
Behavioural characteristic includes feeding, excretion, drinking-water and movement etc..
Sign information includes body temperature, pulse and the performance of other pathological signs etc..
Laboratory testing data include the sample detections data such as blood and urine.
A situation arises that information includes epidemic disease title, time of origin, coverage and degree etc. for region epidemic disease.
As shown in figure 3, extracting current abnormal index or state according to the linked database of building, live pig health shape is assessed
Condition；Comprehensive current other monitoring data indexs analyze and determine abnormal index or state, explore its Producing reason and deposit
Risk；And comparative analysis historical data, the time and space idea that pig-breeding unusual condition occurs is explored, as live pig exception shape
The auxiliary information of condition analysis.
Embodiment 2
Fig. 4 schematically shows a kind of commodity pig on scale field digital monitoring letter of embodiment according to the present invention
Cease application system.
As shown, the system includes sequentially connected acquisition module 1, building module 2, analysis module 3 and warning module
4。
Wherein, acquisition module 1, for acquiring data target and establishing database.Based on current pig-breeding informationization water
Flat, informationization technology practicability and data accessibility determine the data target of acquisition.The data target includes: scale
Change the feeding management of commodity pig farm and environmental information, live pig behavioural characteristic, live pig sign information, regular sample experiments room testing number
According to and region epidemic disease a situation arises information.Phase is established respectively by its classification and frequency acquisition according to data target collected
Answer database.
It constructs module 2 and establishes the linked database of data target and value for determining the value range of data target.Institute
Stating value range source includes the data such as document, books and laboratory testing.The value range includes that can use specific number
The digital scope of description and the qualitative description that can not be described with specific number.The data target of the linked database includes raising
Management, concentration of toxic gases, behavioural characteristic, sign information and laboratory testing data.
Analysis module 3 analyzes unusual condition producing cause and risk, comparative analysis for extracting abnormal index or state
Time and spatial homing that pig-breeding unusual condition occurs are explored in historical data and report.
Warning module 4 writes analysis report based on the analysis results and warns
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art, not
Under the premise of being detached from the invention design, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.
Claims (9)
1. a kind of commodity pig on scale field digitizes monitoring information application method characterized by comprising
S1. it acquires data target and establishes database；
S2. it determines the data target value range, establishes the linked database of the data target and value；
S3. abnormal index or state are extracted, unusual condition producing cause and risk, comparative analysis historical data and report are analyzed,
Explore the time and space idea that pig-breeding unusual condition occurs；
S4. analysis report is write based on the analysis results and is warned.
2. commodity pig on scale field as described in claim 1 digitizes monitoring information application method, which is characterized in that the step
Suddenly S1 includes:
S11. data target is acquired, the data target includes: the feeding management of commodity pig on scale field and environmental information, live pig row
It is characterized information, live pig sign information, regular sample experiments room detection data index and region epidemic disease a situation arises information；
S12. database is established, the data target of acquisition is established into corresponding data according to its classification and frequency acquisition respectively
Library.
3. commodity pig on scale field as described in claim 1 digitizes monitoring information application method, which is characterized in that the step
Suddenly S2 includes:
S21. it collects and consults the data such as pertinent literature, books and each data target is determined by laboratory testing
Theoretical range of normal value；
S22. to can not the data target of apparatus volume representation collect its normal and abnormality qualitative description；
S23. the linked database of the data target and value or state description is established.
4. commodity pig on scale field as claimed in claim 3 digitizes monitoring information application method, which is characterized in that the pass
Join database in, ammonia concentration 0~100ppm of standard reference value, wherein 0~5ppm be it is slight, 5~10ppm be moderate, 10~
100ppm is severe；Live pig normal body temperature range is 38~39.5 DEG C, and live pig normal pulse range is 60~80 beats/min etc.；
Foraging behaviour includes intake time daytime 6~8 times, night 4~6 times, feed intake 0.6~3kg/ times；Drinking behavior includes drinking-water
Amount 0.67~12L/ times.
5. commodity pig on scale field as described in claim 1 digitizes monitoring information application method, which is characterized in that the step
Suddenly S3 includes:
S31. in conjunction with the data target information and range of normal value and qualitative description, abnormal index or state are extracted；
S32. current all monitoring data indexs are integrated to analyze and determine the abnormal index or state, and compare history phase
Information is closed, live pig health status is assessed, analyzes unusual condition producing cause and risk；
S33. space-time and other rules that pig-breeding unusual condition occurs are explored in comparative analysis historical data and report, as
The auxiliary information of live pig unusual condition analysis.
6. a kind of commodity pig on scale field digitizes monitoring information analysis system, which is characterized in that connect including being sequentially connected:
Acquisition module, for data target acquisition and Database；
Module is constructed, for determining the value range of the data target and establishing the associated data of the data target and value
Library；
Analysis module, for extracting abnormal index or state and analysis unusual condition producing cause and risk, comparative analysis history
Data and time and the spatial homing for reporting and exploring the generation of pig-breeding unusual condition.
Warning module, for writing analysis report based on the analysis results and warning.
7. commodity pig on scale field as claimed in claim 6 digitizes monitoring information application system, which is characterized in that described to adopt
Collect module and the data target of acquisition is established into associated databases, the data target according to its classification and frequency acquisition respectively
It include: the feeding management of commodity pig on scale field and environmental information, live pig behavior characteristic information, live pig sign information, regular sample
Laboratory testing data target and region epidemic disease a situation arises information.
8. commodity pig on scale field as claimed in claim 6 digitizes monitoring information application system, which is characterized in that the structure
Modeling block establishes the linked database of the data target and value or state description by the following method:
It collects and consults the data such as pertinent literature, books and determine the theory of each data target by laboratory testing
Range of normal value；
To can not the data target of apparatus volume representation collect its normal and abnormality qualitative description.
9. commodity pig on scale field as claimed in claim 6 digitizes monitoring information application system, which is characterized in that described point
Analysis module function include:
In conjunction with the data target and range of normal value and qualitative description, abnormal index or state are extracted；
The data target of comprehensive current all monitorings analyzes and determines the abnormal index or state, and compares history
Relevant information assesses live pig health status, analyzes unusual condition producing cause and risk；
And comparative analysis historical data and report, explore pig-breeding unusual condition occur space-time and other rules, as
The auxiliary information of live pig unusual condition analysis.
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| CN112000051A (en) * | 2020-09-14 | 2020-11-27 | 江西省农业科学院农业经济与信息研究所 | Livestock breeding management system based on Internet of things |
| CN113065760A (en) * | 2021-03-31 | 2021-07-02 | 重庆市畜牧技术推广总站 | Sow cub quantity and weight evaluation and management system |
| CN113656600A (en) * | 2021-08-23 | 2021-11-16 | 东北农业大学 | Knowledge graph-based DHI report interpretation method, system and storage medium |
| CN114467798A (en) * | 2022-02-10 | 2022-05-13 | 重庆市畜牧技术推广总站 | Intelligent pig raising growth health dynamic monitoring management method based on big data |
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